{"id":1272362,"url":"https://alion.io/job/okda-solutions-data-engineer","title":"Data Engineer","company":{"id":3800839,"name":"Okda Solutions","domain":"okdasolutions.com","url":"https://alion.io/company/okda-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-02T12:14:57Z","employer_posted_date":null,"last_verified_at":"2026-09-02T12:14:57Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Job Description :\n\nImmediate joiners or less than 30 days notice period.\n\nKey Responsibilities :\n\n- Design, build, and optimize scalable data pipelines and ETL workflows.\n\n- Develop and maintain data models, data marts, data warehouses, and analytical datasets.\n\n- Perform exploratory data analysis and identify meaningful trends, patterns, and insights.\n\n- Develop, train, validate, and monitor predictive and classification models.\n\n- Apply statistical analysis, hypothesis testing, experimental design, and A/B testing.\n\n- Perform data preprocessing, feature engineering, model validation, and performance evaluation.\n\n- Translate analytical findings into clear and actionable business recommendations.\n\n- Create data visualizations and reports for technical and non-technical stakeholders.\n\n- Implement data quality checks, validation rules, monitoring, logging, and alerting.\n\n- Automate data workflows and ensure reliable and timely data availability.\n\n- Collaborate with data engineering and AI teams to operationalize models and analytical solutions.\n\n- Evaluate and select suitable AI foundation models where applicable.\n\nTechnical Skills :\n\n- Strong programming skills in Python or R.\n\n- Advanced SQL and experience with SQL databases.\n\n- Strong knowledge of statistics, machine learning, and data mining.\n\n- Hands-on experience with data preprocessing, feature engineering, and model validation.\n\n- Data visualization using Power BI, Tableau, Matplotlib, or Seaborn.\n\n- Experience with big data technologies such as Apache Spark or Hadoop.\n\n- Hands-on experience with cloud data platforms such as Azure, AWS, or GCP.\n\n- Knowledge of cloud ML platforms such as Azure ML, AWS SageMaker, or GCP AI/ML services.\n\n- Experience with data warehousing platforms such as Snowflake, Redshift, or BigQuery.\n\nData Quality & Testing :\n\n- Develop and execute data validation and data quality test cases.\n\n- Perform unit and integration testing for data pipelines.\n\n- Validate data accuracy, completeness, consistency, and integrity.\n\n- Identify data anomalies and coordinate with engineering teams for resolution.\n\n- Maintain testing documentation, results, and logs.\n\nCloud & Platform Experience :\n\n- Experience with Azure Data Factory, AWS Glue, GCP BigQuery, or similar cloud data services.\n\n- Knowledge of orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.\n\n- Understanding of Docker, Kubernetes, or containerized environments.\n\n- Familiarity with DevOps practices and CI/CD for data pipelines.\n\n- Experience with monitoring and operational support for data workflows.\n\nPreferred Qualifications :\n\n- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.\n\n- 8 to 12 years of relevant experience in data engineering, data science, machine learning, or related domains.\n\n- Strong hands-on experience with Python, SQL, and distributed data systems.\n\n- Ability to communicate complex technical concepts clearly to non-technical stakeholders.\n\n- Experience deploying and maintaining data or machine learning solutions in production environments.\n\nKey Skills :\n\n- Python - SQL - Data Engineering - ETL - Data Pipelines - Machine Learning - Statistics - EDA - Feature Engineering - Data Quality - Apache Spark - Hadoop - Azure/AWS/GCP - Airflow/ADF/Glue - Power BI/Tableau - Snowflake/Redshift/BigQuery - CI/CD - Docker - Kubernetes\nSkills\nData Engineering, Data Science, Python, SQL, Machine Learning, Big Data, ETL, Power BI, Tableau, Apache Spark","description_format":"text","description_chars":3510,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.66,"p_room":0.55,"age_days":27,"expected_fill_days":23,"reasons":["seen:27","velocity","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/okda-solutions-data-engineer","json_url":"https://alion.io/job/okda-solutions-data-engineer.json","meta":{"generated_at":"2026-10-01T00:16:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":322,"day_limit":5000,"remaining_today":4678,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}